Instructions to use ChonkyStudio/3DC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChonkyStudio/3DC with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChonkyStudio/3DC", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from ChonkyStudio/3DC: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/ChonkyStudio/3DC/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ChonkyStudio/3DC/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ChonkyStudio/3DC/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 4ae6951dc70bf1d5f3e901eba490bccddd04df9ecb662e1d2ae6539151a3b10a
- Size of remote file:
- 492 MB
- SHA256:
- 02f66a66ff96c8185bc5f63c54661c50e1c9205d5d016a19fd5655fdfd02bbc8
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